In this paper, we present a framework for collaborative networks in the long-haul truckload trucking industry. To help preserving members’ privacy, a distributed design is proposed for the network. Moreover, decisions about when to engage a collaboration and how much information to reveal is totally left to the network participants. The proposed framework integrates a dynamic optimization base that intents to achieve a good trade-off between local optimization representing each network participant personal goals and global optimization representing the network global goals. Issues related to the implementation of the proposed solution approaches in a dynamic setting are also discussed.